Evaluating the dynamics of hydroclimate and streamflow for data-scarce areas using MIKE11-NAM model in Bilate river basin, Ethiopia

Nannawo, Abera Shigute; Lohani, Tarun Kumar; Eshete, Abunu Atlabachew; Ayana, Melkamu Teshome

doi:10.1007/s40808-022-01455-x

Cited by 15 publications

(10 citation statements)

References 89 publications

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“…Upper Bilate River watershed is found in the southern nation, nationality and people's regional state. A section of the Hadiya, Gurage, Silte, Kembata-Tembaro, and Halaba zones are covered by the aforementioned river watershed [ 2 , 17 , 28 ] ( Fig. 1 c).…”

Section: Methodsmentioning

confidence: 99%

“…To evaluate the data quality of parameters, there are several methods that can be employed by different scholars for stance RMSE methods [ 18 , 47 , 48 ], NSE approaches [ 28 , 47 , 49 ], coefficient of determination (R 2 ) [ 34 , 50 , 51 ] and Machine learning approaches (ML) [ 52 , 53 ]. To guarantee data quality and eliminate uncertainty, the collected data underwent a comprehensive process.…”

Section: Methodsmentioning

confidence: 99%

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Assessment of surface water resource and allocation optimization for diverse demands in Ethiopia's upper Bilate Watershed

Genjebo,

Kemal,

Nannawo

2023

Heliyon

Self Cite

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Assessment of surface water resource and allocation optimization for diverse demands in Ethiopia's upper Bilate Watershed

Genjebo,

Kemal,

Nannawo

2023

Heliyon

Self Cite

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“…The basin is divided into three geomorphologic zones: rift, escarpment, and highland (Haji et al, 2018). Due to diverse topographical features ranging from 1116 m in the lower reach of the base to 3355 m above mean sea level in the northern Gurage highlands (Figure 1), the mean annual rainfall varies substantially (Ayele et al, 2022;Edamo et al, 2022;Ukumo et al, 2022;Nannawo et al, 2022). The basin is divided into three sub-basins in terms of rainfall distribution, with yearly rainfall of high, moderate and low.…”

Section: Study Area Descriptionsmentioning

confidence: 99%

Envisaging the actual evapotranspiration and elucidating its effects under climate change scenarios on agrarian lands of bilate river basin in Ethiopia

Nannawo

Lohani

Eshete

2022

Heliyon

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“…Data discontinuity in many operational gauges imposed a huge challenge in making useful river discharge analysis and modeling. In addition, the dataset itself has a problem of short time duration [26,27] and limited spatial coverage and availability [28]. As a result, recent data collection is relying on individual research project activities [29,30].…”

Section: Introductionmentioning

confidence: 99%

Priority Research Topics to Improve Streamflow Data Availability in Data-Scarce Countries: The Case for Ethiopia

Taye,

Zimale,

Woldesenbet

et al. 2023

Hydrology

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Lack of consistent streamflow data has been an increasing challenge reported by many studies in developing countries. This study aims to understand the current challenges in streamflow monitoring in Ethiopia to prioritize research topics that can support sustained streamflow monitoring in the country and elsewhere. A workshop-based expert consultation, followed by a systematic literature review, was conducted to build a collective understanding of the challenges and opportunities of streamflow monitoring in Ethiopia. The experts’ consultation identified the top ten research priorities to improve streamflow monitoring through research, education, remote sensing applications, and institutions. The experts’ views were supported by a systematic review of more than 300 published articles. The review indicated scientific investigation in Ethiopian basins was constrained by streamflow data gaps to provide recent and relevant hydrological insights. However, there is inadequate research that seeks solutions, while some researchers use experimental methods to generate recent streamflow data, which is an expensive approach. Articles that attempted to fill data gaps make up less than 20% of the reviewed articles. This study identified research priorities that can benefit streamflow data providers and the research community in alleviating many of the challenges associated with streamflow monitoring in countries such as Ethiopia.

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Evaluating the dynamics of hydroclimate and streamflow for data-scarce areas using MIKE11-NAM model in Bilate river basin, Ethiopia

Cited by 15 publications

References 89 publications

Assessment of surface water resource and allocation optimization for diverse demands in Ethiopia's upper Bilate Watershed

Assessment of surface water resource and allocation optimization for diverse demands in Ethiopia's upper Bilate Watershed

Envisaging the actual evapotranspiration and elucidating its effects under climate change scenarios on agrarian lands of bilate river basin in Ethiopia

Priority Research Topics to Improve Streamflow Data Availability in Data-Scarce Countries: The Case for Ethiopia

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